Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is an excellent skill that provides a complete, executable hybrid search RPC with clear validation and verification phases. It respects Claude's intelligence by avoiding unnecessary explanations while providing all the concrete details needed for deployment. The HALT conditions and verification criteria make the workflow robust against common failure modes.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient. Every section serves a purpose — preconditions, schema validation, the SQL function, verification, and tuning notes. Comments within the SQL are minimal and useful. No unnecessary explanations of what RRF is conceptually or how pgvector works at a basic level. | 3 / 3 |
Actionability | Provides a complete, executable SQL function with clear placeholders to substitute. Verification steps include specific SQL commands (EXPLAIN ANALYZE) and concrete success criteria. The schema validation phase gives exact queries to run. | 3 / 3 |
Workflow Clarity | Three clearly sequenced phases (Validate → Deploy → Verify) with explicit HALT conditions at validation and verification stages. The verification phase includes a feedback loop checking index usage and score correctness, with a clear stop condition if sequential scans appear. | 3 / 3 |
Progressive Disclosure | Well-structured with clear sections. References the pgvector-hnsw-index-selection skill as a one-level-deep dependency. Tuning notes are appropriately separated at the end rather than cluttering the main workflow. The content length is appropriate for inline presentation without needing external files. | 3 / 3 |
Total | 12 / 12 Passed |